From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Swarm intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Don't push me! Collision-avoiding swarms
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Chaotic dynamic characteristics in swarm intelligence
Applied Soft Computing
Facing classification problems with Particle Swarm Optimization
Applied Soft Computing
A hybrid PSO/ACO algorithm for classification
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
A fuzzy adaptive turbulent particle swarm optimisation
International Journal of Innovative Computing and Applications
A New Rough Set Reduct Algorithm Based on Particle Swarm Optimization
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
A hybrid PSO/ACO algorithm for discovering classification rules in data mining
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
Applying particle swarm optimization algorithm to roundness measurement
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Multi-objective rule mining using a chaotic particle swarm optimization algorithm
Knowledge-Based Systems
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Classification rule discovery with DE/QDE algorithm
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
AMPSO: a new particle swarm method for nearest neighborhood classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Comparing several approaches for hierarchical classification of proteins with decision trees
BSB'07 Proceedings of the 2nd Brazilian conference on Advances in bioinformatics and computational biology
MulO-AntMiner: a new ant colony algorithm for the multi-objective classification problem
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part II
Predicted-velocity particle swarm optimization using game-theoretic approach
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Evaluation of particle swarm optimization effectiveness in classification
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
A hybrid network intrusion detection system using simplified swarm optimization (SSO)
Applied Soft Computing
Swarm optimization and Flexible Neural Tree for microarray data classification
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
PSO for feature construction and binary classification
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm
Computer Methods and Programs in Biomedicine
Information Sciences: an International Journal
Evolutionary approach for automated component-based decision tree algorithm design
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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Particle Swarm Optimisers are inherently distributed algorithms where the solution for a problem emerges from the interactions between many simple individual agents called particles. This article proposes the use of the Particle Swarm Optimiser as a new tool for Data Mining. In the first phase of our research, three different Particle Swarm Data Mining Algorithms were implemented and tested against a Genetic Algorithm and a Tree Induction Algorithm (J48). From the obtained results, Particle Swarm Optimisers proved to be a suitable candidate for classification tasks. The second phase was dedicated to improving one of the Particle Swarm optimiser variants in terms of attribute type support and temporal complexity. The data sources here used for experimental testing are commonly used and considered as a de facto standard for rule discovery algorithms reliability ranking. The results obtained in these domains seem to indicate that Particle Swarm Data Mining Algorithms are competitive, not only with other evolutionary techniques, but also with industry standard algorithms such as the J48 algorithm, and can be successfully applied to more demanding problem domains.